8
CORE MODULES
12
WEEKS OF LEARNING
100%
HANDS ON PROJECTS
20+
ANTIC TOOLS
What you'll learn
AI Foundations You Can Actually Use
Master AI Chat Tools Like a Pro
Automate Anything With Code
Build Apps Without Developers
Train Your Own Core Models
Research & Think Smarter with AI
12-Week Learning Journey
Discover what AI really is, how machines learn, and where AI already touches your daily life. Start your journey with confidence no background required.
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Understanding the Idea of AI
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Machines and People
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AI in Everyday Life
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How AI Learns (Simplified)
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Information and Examples
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What AI Can Do
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AI Is Not Perfect
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Using AI Responsibly
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AI and the Future
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Reflection and Confidence
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Get comfortable with coding concepts at a human pace. See how Python connects to AI tools; you don’t need to become a programmer, just learn to think computationally.
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Getting Comfortable with the Idea of Coding
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Meeting Python (as a Friendly Tool)
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Talking to the Computer Using Python
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Storing Information (Foundation Concepts)
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Making Decisions in Python
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Repeating Tasks (Practice, Not Drills)
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Working with Collections of Information
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Python and AI Connection
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Mistakes Are Part of Learning
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Using Python Responsibly
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Looking Ahead (Without Pressure)
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Reflection and Confidence
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Understand how machines learn from examples. Explore regression, classification, and clustering in plain language with real-world analogies that stick.
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From Human Learning to Machine Learning
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What Machine Learning Really Means
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Examples Are How Machines Learn
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The Machine Learning Journey (Workflow)
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Predicting Numbers (Regression)
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Making Choices (Classification)
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Finding Hidden Patterns (Clustering)
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Machine Learning Is Not Always Right
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Where We See Machine Learning Around Us
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Using Machine Learning Responsibly
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Looking Ahead (Future-Safe)
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Reflection & Confidence
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Peek inside the black box. Understand how neural networks are inspired by the human brain, how they learn from mistakes, and where they power AI today.
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Learning Inspired by the Human Brain
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From Brain Ideas to Machine Ideas
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Meeting the Building Blocks
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Connections and Importance
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Deciding When to Act
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Layers and Structure
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Making a Guess (Forward Pass)
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Checking the Guess
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Learning from Mistakes
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Practice Makes It Better
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Neural Networks in Real Life
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Limits and Responsibility
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Looking Ahead (Future-Safe)
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Reflection & Confidence
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Go deeper into how modern AI systems work. Learn why depth matters, how features are discovered automatically, and what makes deep learning so powerful.
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From Simple Learning to Deep Learning
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What “Deep” Really Means
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Many Layers Working Together
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Automatic Discovery of Important Details
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Information Flow in Deep Systems
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Adjusting Learning Carefully
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Practice, Time, and Experience
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When Deep Learning Struggles
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Helpers That Make Deep Learning Possible
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Deep Learning as a Tool, Not a Brain
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Deep Learning in the AI Family
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Responsible and Careful Use
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Looking Ahead (Future-Safe)
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Reflection & Comfort
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Explore how machines see and interpret images. From image classification to object detection, learn how computer vision works and build your own models with Teachable Machine.
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Seeing the World
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Can Machines See?
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Pictures Are Made of Small Parts
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Finding Important Details in Images
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Learning to See Step by Step
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Remembering and Rebuilding Images
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Creating New Images by Learning Patterns
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Finding Objects in Images
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Understanding Every Part of an Image
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When Computer Vision Makes Mistakes
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Computer Vision in Daily Life
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Using Computer Vision Responsibly
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Computer Vision in the AI Family
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Reflection & Confidence
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Understand how AI processes and understands human language. Learn about transformers, word embeddings, and how tools like ChatGPT and Claude generate responses.
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Language and Communication
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Can Machines Understand Language?
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Early Ways Machines Handled Language
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Breaking Language into Small Parts
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Counting and Noticing Words
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Looking at Word Groups
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Turning Words into Numbers (Gently)
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Remembering Word Order and Context
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Paying Attention to Important Words
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Learning from Large Language Experience
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Understanding Meaning and Feelings
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Changing Language
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When NLP Makes Mistakes
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Using NLP Responsibly
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NLP in the AI Family
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Reflection & Confidence
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Move from consuming AI to creating with AI. Master prompt engineering, understand how generative models work, and explore RAG, multimodal AI, and responsible creation.
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From Using AI to Creating with AI
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What “Generative” Really Means
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Learning from Large Examples
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Language Generation at a High Level
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Talking to Generative AI
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Helping AI Use Correct Information
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How Generative Models Learn Structure
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Different Ways to Generate Content
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The Engine Behind Modern Gen AI
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Creating Across More Than One Form
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GenAI Makes Mistakes Too
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Using Generative AI Responsibly
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GenAI in the AI Family
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Looking Ahead (Future-Safe)
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The frontier of AI: agents that plan, act, and learn autonomously. Understand how AI agents work, when to use them, and how to build simple agentic workflows without code.
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From Tools to Helpers
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What Is an AI Agent?
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Levels of Agency
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Inside an Agent (Core Anatomy)
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How an Agent Works Step by Step
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Using Knowledge While Acting
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From RAG to Agentic RAG
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Many Agents Working Together
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Agentic AI Frameworks (Conceptual)
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When Agents Make Mistakes
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Where Agentic AI Is Used (Safely)
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Using Agentic AI Responsibly
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Agentic AI in the AI Family
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Looking Ahead (Future-Safe)
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Reflection & Comfort
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